IBM SevOne vs. Intel Deep Insight Network Analytics Software

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
IBM SevOne
Score 8.2 out of 10
N/A
IBM SevOne’s app-centric, hybrid network observability empowers NetOps teams with ML-driven insights, enabling proactive issue prevention and resolution. With a single source of truth for network performance, it delivers visibility to optimize operations and support agility in complex, multi-cloud environments.N/A
Intel Deep Insight Network Analytics Software
Score 0.0 out of 10
N/A
Network and Server Performance Monitoring Analyze Observe every packet from every switch and router in the network and server, in band at line rate. Interpret and Pinpoint Run on commodity servers and interpret, analyze, and pinpoint—in real time—the many conditions that impede packet flow.N/A
Pricing
IBM SevOneIntel Deep Insight Network Analytics Software
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
IBM SevOneIntel Deep Insight Network Analytics Software
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
YesNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional DetailsIBM® SevOne® uses Managed Device (MD) and Managed Client Device (MCD) as pricing metrics. These can be mapped to managed devices for physical, virtualized and containerized functions in the managed environment.
More Pricing Information
Features
IBM SevOneIntel Deep Insight Network Analytics Software
Network Performance Monitoring
Comparison of Network Performance Monitoring features of Product A and Product B
IBM SevOne
7.6
15 Ratings
5% below category average
Intel Deep Insight Network Analytics Software
-
Ratings
Automated network device discovery7.916 Ratings00 Ratings
Network monitoring7.416 Ratings00 Ratings
Baseline threshold calculation7.416 Ratings00 Ratings
Alerts7.215 Ratings00 Ratings
Network capacity planning7.616 Ratings00 Ratings
Packet capture analysis7.510 Ratings00 Ratings
Network mapping7.516 Ratings00 Ratings
Customizable reports7.816 Ratings00 Ratings
Wireless infrastructure monitoring7.514 Ratings00 Ratings
Hardware health monitoring8.28 Ratings00 Ratings
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User Ratings
IBM SevOneIntel Deep Insight Network Analytics Software
Likelihood to Recommend
7.7
(13 ratings)
-
(0 ratings)
User Testimonials
IBM SevOneIntel Deep Insight Network Analytics Software
Likelihood to Recommend
IBM
The software is handy and really helps us track all the issues that may occur in our network, allowing us to rectify them before any significant problems with our server can arise. It also enhances the overall performance of all our servers and networks, but, as I mentioned earlier, it will take considerable time for a beginner to become familiar with every feature of the software.
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Intel Corporation
No answers on this topic
Pros
IBM
  • To see trends in network usage, identify upgrade switches, increase bandwidth and cabling
  • Provide dashboards to operations, logistics for both warehouse and production managers
  • Can integrate into incident systems to auto create tickets when issues happen
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Intel Corporation
No answers on this topic
Cons
IBM
  • Documentation for the embedded help pages in NMS and more. In my opinion, these do not provide anything of any depth or maybe anything helpful at all. If anything it just seems to be a guide of what actually exists on the page. It is nicely searchable documentation though.
  • It is very surprising and disappointing for us to learn that it isn't until the latest version of IBM SevOne that bulk editing was introduced. I think this is such a basic and foundational feature that should have been a part of the original rollout. My team is still trying to configure the REST API.
  • It was disappointing for the webinar to start with a speaker who had a thick accent and simply read from slides. To me, it felt hopeless until the second speaker, who was engaging and easy to understand. It's as if this fact wasn't considered. I'm sure the first speaker lost a lot of viewers who didn't stick around to discover the 2nd speaker.
  • I asked three different questions during the webinar and none were answered.
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Intel Corporation
No answers on this topic
Alternatives Considered
IBM
IBM SevOne was selected instead of Datadog because it is perfect for large insurance networks and also connects trouble-free between the on-premise and cloud environments. Its alerts are in real-time, it offers comprehensive dashboards and it allows to gain a better grip on the network issues, thus helping to keep the downtime small and the operations well managed thanks to the good communication.
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Intel Corporation
No answers on this topic
Return on Investment
IBM
  • The software has minimal downtime, which helps us connect with our customers quickly and resolve their issues.
  • Automated networks reports that it gives saves a lot of time and resources.
  • Setting up and completing the configuration will take more than three months, which is a significant expense at the outset.
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Intel Corporation
No answers on this topic
ScreenShots

IBM SevOne Screenshots

Screenshot of hybrid cloud network monitoring. This view helps achieve application-centric observability in hybrid cloud environments for maintaining optimal performance across infrastructure.Screenshot of MSP network monitoring. This provides comprehensive network monitoring and observability that empower MSPs to support enterprise clients on their hybrid multicloud journeys.Screenshot of SD-WAN monitoring. This helps mitigate the transitional risk of moving from traditional WANs to fast and dynamic SD-WAN links.Screenshot of SDN monitoring. This helps maximize the performance and value of Cisco ACI infrastructure with built-in support for monitoring Cisco ACI-based software-defined networks (SDNs).Screenshot of Enterprise wifi monitoring. This creates visibility across wifi infrastructures to assure consistent high-quality services with modern wifi monitoring and management capabilities.Screenshot of a view of the default machine learning analytics and visualizations that aid in troubleshooting, anomaly detection, and forecasting. This allows for proactive identification and troubleshooting of issues before they impact end-users.